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  2. NewSQL - Wikipedia

    en.wikipedia.org/wiki/NewSQL

    NewSQL is a class of relational database management systems that seek to provide the scalability of NoSQL systems for online transaction processing (OLTP) workloads while maintaining the ACID guarantees of a traditional database system. [1] [2] [3] [4]

  3. NuoDB - Wikipedia

    en.wikipedia.org/wiki/NuoDB

    SQL compliant, NuoDB's database technology is classified as "NewSQL". [12] [33] It has a distributed object architecture that works in the cloud, [12] [34] which means that when a new server is added in order to scale-out the database, the database runs faster. [13] [35] [36] [37] The database scales out without sharding.

  4. Distributed SQL - Wikipedia

    en.wikipedia.org/wiki/Distributed_SQL

    A distributed SQL database is a single relational database which replicates data across multiple servers. Distributed SQL databases are strongly consistent and most support consistency across racks, data centers, and wide area networks including cloud availability zones and cloud geographic zones.

  5. H-Store - Wikipedia

    en.wikipedia.org/wiki/H-Store

    H-Store was promoted as a new class of parallel database management systems, called NewSQL, [6] that provide the high-throughput and high-availability of NoSQL systems, but without giving up the transactional consistency of a traditional DBMS known as ACID (atomicity, consistency, isolation and durability). [7]

  6. Operational database - Wikipedia

    en.wikipedia.org/wiki/Operational_database

    Since the early 1990s, the operational database software market has been largely taken over by SQL engines. In 2014, the operational DBMS market (formerly OLTP) was evolving dramatically, with new, innovative entrants and incumbents supporting the growing use of unstructured data and NoSQL DBMS engines, as well as XML databases and NewSQL databases.

  7. VoltDB - Wikipedia

    en.wikipedia.org/wiki/VoltDB

    VoltDB is a NewSQL OLTP [3] relational database that supports SQL access from within pre-compiled Java stored procedures.. While direct SQL access is supported, [4] the most efficient form of interaction is using stored procedure calls, [5] as it involves fewer network trips.

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